EchoWrite-SNN: Acoustic Based Air-Written Shape Recognition Using Spiking Neural Networks-Reference-Cited by-同舟云学术

EchoWrite-SNN: Acoustic Based Air-Written Shape Recognition Using Spiking Neural Networks

Published:2022-05-28 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

George Arun M¹,Gigie Andrew¹,Kumar A Anil¹,Dey Sounak¹,Pal Arpan¹,Aditi K¹

Affiliation:

1. TCS Research,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937951.pdf?arnumber=9937951

Reference33 articles.

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2. Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

3. Graph Spectral Domain Feature Learning With Application to in-Air Hand-Drawn Number and Shape Recognition

4. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proceedings of the 32nd International Conference on Machine Learning ser Proceedings of Machine Learning Research,2015

5. WiReader: Adaptive Air Handwriting Recognition Based on Commercial WiFi Signal

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